2,535 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Duke University in United States
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activities, document assessments, plan of care, interventions, evaluation and re-evaluation of patient status. Ability to use computer and learn new software programs. Ability to navigate the entity to provide
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to record activities, document assessments, plan of care, interventions, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs Able to document and communicate
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Skills Cardiology/Pulmonary experience preferred Ability to lead others and work well in a team environment Strong customer service skills Strong conflict resolutions skills Desire to learn new skills/grow
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, genomics, computer science, bioinformatics, or a related discipline. The successful candidate will lead computational research projects applying advanced statistical, machine learning, and artificial
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of patient status Ability to use computer and learn new software programs Able to document and communicate pertinent information using computer and/or paper documentation tools Ability to navigate the entity
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doctoral degree in Computer Science or Biomedical Informatics or a closely related quantitative field. The successful candidate demonstrates documented expertise in machine learning and distributed
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of patient status Ability to use computer and learn new software programs Able to document and communicate pertinent information using computer and/or paper documentation tools Ability to navigate the entity
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-evaluation of patient status. Ability to use computer and learn new software programs. Ability to navigate the entity to provide clinical care for patients. Ability to withstand prolonged standing and walking
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to use computer and learn new software programs Able to document and communicate pertinent information using computer and/or paper documentation tools Ability to navigate the entity to provide clinical
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System by scanning and using protocols given. Demonstrate proficiency in the 100+ MR protocols in the Health System. Teach the correct application of these protocols to new technologists, physicians, and